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  2. MySQL Cluster - Wikipedia

    en.wikipedia.org/wiki/MySQL_Cluster

    MySQL Cluster, also known as MySQL Ndb Cluster is a technology providing shared-nothing clustering and auto-sharding for the MySQL database management system. It is designed to provide high availability and high throughput with low latency, while allowing for near linear scalability. [ 3 ]

  3. Database index - Wikipedia

    en.wikipedia.org/wiki/Database_index

    In Microsoft SQL Server, the leaf node of the clustered index corresponds to the actual data, not simply a pointer to data that resides elsewhere, as is the case with a non-clustered index. [5] Each relation can have a single clustered index and many unclustered indices.

  4. Oracle RAC - Wikipedia

    en.wikipedia.org/wiki/Oracle_RAC

    With the release of Oracle Database 10g Release 2 (10.2), Cluster Ready Services was renamed to Oracle Clusterware. When using Oracle 10g or higher, Oracle Clusterware is the only clusterware that you need for most platforms on which Oracle RAC operates (except for Tru cluster, in which case you need vendor clusterware).

  5. Shared-nothing architecture - Wikipedia

    en.wikipedia.org/wiki/Shared-nothing_architecture

    In databases, a term for the part of a database on a single node is a shard. A SN system typically partitions its data among many nodes. A SN system typically partitions its data among many nodes. A refinement is to replicate commonly used but infrequently modified data across many nodes, allowing more requests to be resolved on a single node.

  6. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    In SQL Server 2012, an in-memory technology called xVelocity column-store indexes targeted for data-warehouse workloads. Mimer SQL: Mimer Information Technology SQL, ODBC, JDBC, ADO.NET, Embedded SQL, C, C++, Python Proprietary Mimer SQL is a general purpose relational database server that can be configured to run fully in-memory.

  7. Database scalability - Wikipedia

    en.wikipedia.org/wiki/Database_scalability

    Database scalability is the ability of a database to handle changing demands by adding/removing resources. Databases use a host of techniques to cope. [ 1 ] According to Marc Brooker: "a system is scalable in the range where marginal cost of additional workload is nearly constant."

  8. Database virtualization - Wikipedia

    en.wikipedia.org/wiki/Database_Virtualization

    Database virtualization is the decoupling of the database layer, which lies between the storage and application layers within the application stack. Virtualization of the database layer enables a shift away from the physical, toward the logical or virtual. Virtualization enables compute and storage resources to be pooled and allocated on demand.

  9. Clustrix - Wikipedia

    en.wikipedia.org/wiki/Clustrix

    The Clustrix database operates on a distributed cluster of shared-nothing nodes using a query to data approach. [21] Here nodes typically own a subset of the data. SQL queries are split into query fragments and sent to the nodes that own the data. This enables Clustrix to scale horizontally as additional nodes are added. [18]